Virtual Reality, Ultrasound-guided Liver Biopsy Simulator: Development and Performance Discrimination
Identifieur interne : 002493 ( Main/Exploration ); précédent : 002492; suivant : 002494Virtual Reality, Ultrasound-guided Liver Biopsy Simulator: Development and Performance Discrimination
Auteurs : Sheena Johnson [Royaume-Uni] ; Carianne Hunt [Royaume-Uni] ; Helen Woolnough [Royaume-Uni] ; Martin Crawshaw [Royaume-Uni] ; Caroline Kilkenny [Royaume-Uni] ; Derek Gould [Royaume-Uni] ; Amrita Sinha [Royaume-Uni] ; Andrew England [Royaume-Uni] ; Pierre-Frédéric Villard [Royaume-Uni]Source :
- British Journal of Radiology [ 0007-1285 ] ; 2011.
Abstract
Objectives: Identify and prospectively investigate simulated ultrasound-guided targeted liver biopsy performance metrics as differentiators between levels of expertise in interventional radiology. Methods: Task analysis produced detailed procedural step documentation allowing identification of critical procedure steps and performance metrics for use in a virtual reality ultrasound-guided targeted liver biopsy procedure. Consultant (n 5 14, male 5 11, female 5 3) and trainee (n 5 26, male 5 19, female 5 7) scores on the performance metrics were compared. Ethical approval was granted by the Liverpool Research Ethics Committee (UK). Independent t-tests and analysis of variance (ANOVA) investigated differences between groups. Results: Independent t-tests revealed significant differences between trainees and consultants on 3 performance metrics: targeting, p 5 0.018, t 5 22.487 (22.040 to 20.207); probe usage time, p 5 0.040, t 5 2.132 (11.064 to 427.983); mean needle length in beam, p 5 0.029, t 5 22.272 (20.028 to 20.002). ANOVA reported significant differences across years of experience (0-1, 1-2, 3+ years) on seven performance metrics: no-go area touched, p 5 0.012; targeting, p 5 0.025; length of session, p 5 0.024; probe usage time, p 5 0.025; total needle distance moved, p 5 0.038; number of skin contacts, p , 0.001; total time in no-go area, p 5 0.008. More experienced participants consistently received better performance scores on all 19 performance metrics. Conclusion: It is possible to measure and monitor performance using simulation, with performance metrics providing feedback on skill level and differentiating levels of expertise. However, a transfer of training study is required.
Url:
DOI: 10.1259/bjr/47436030
Affiliations:
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Liverpool ; L7 8XP</addrLine><country key="GB"></country></address><ref type="url">http://www.rlbuht.nhs.uk/About_the_Royal_Liverpool_University_Hospital.asp</ref></desc><listRelation><relation active="#struct-300660" type="direct"></relation><relation active="#struct-301526" type="direct"></relation></listRelation><tutelles><tutelle active="#struct-300660" type="direct"><org type="institution" xml:id="struct-300660" status="VALID"><orgName>University of Liverpool</orgName><desc><address><country key="FR"></country></address></desc></org></tutelle><tutelle active="#struct-301526" type="direct"><org type="institution" xml:id="struct-301526" status="VALID"><orgName>Royal Liverpool and Broadgreen University Hospital NHS Trust</orgName><desc><address><country key="FR"></country></address></desc></org></tutelle></tutelles></hal:affiliation><country>Royaume-Uni</country></affiliation></author><author><name sortKey="Sinha, Amrita" sort="Sinha, Amrita" uniqKey="Sinha A" first="Amrita" last="Sinha">Amrita Sinha</name><affiliation wicri:level="1"><hal:affiliation type="laboratory" xml:id="struct-103825" status="VALID"><orgName>Royal Liverpool University Hospital</orgName><desc><address><addrLine>Prescot Street ; 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Methods: Task analysis produced detailed procedural step documentation allowing identification of critical procedure steps and performance metrics for use in a virtual reality ultrasound-guided targeted liver biopsy procedure. Consultant (n 5 14, male 5 11, female 5 3) and trainee (n 5 26, male 5 19, female 5 7) scores on the performance metrics were compared. Ethical approval was granted by the Liverpool Research Ethics Committee (UK). Independent t-tests and analysis of variance (ANOVA) investigated differences between groups. Results: Independent t-tests revealed significant differences between trainees and consultants on 3 performance metrics: targeting, p 5 0.018, t 5 22.487 (22.040 to 20.207); probe usage time, p 5 0.040, t 5 2.132 (11.064 to 427.983); mean needle length in beam, p 5 0.029, t 5 22.272 (20.028 to 20.002). ANOVA reported significant differences across years of experience (0-1, 1-2, 3+ years) on seven performance metrics: no-go area touched, p 5 0.012; targeting, p 5 0.025; length of session, p 5 0.024; probe usage time, p 5 0.025; total needle distance moved, p 5 0.038; number of skin contacts, p , 0.001; total time in no-go area, p 5 0.008. More experienced participants consistently received better performance scores on all 19 performance metrics. Conclusion: It is possible to measure and monitor performance using simulation, with performance metrics providing feedback on skill level and differentiating levels of expertise. However, a transfer of training study is required.</div></front></TEI><affiliations><list><country><li>Royaume-Uni</li></country></list><tree><country name="Royaume-Uni"><noRegion><name sortKey="Johnson, Sheena" sort="Johnson, Sheena" uniqKey="Johnson S" first="Sheena" last="Johnson">Sheena Johnson</name></noRegion><name sortKey="Crawshaw, Martin" sort="Crawshaw, Martin" uniqKey="Crawshaw M" first="Martin" last="Crawshaw">Martin Crawshaw</name><name sortKey="England, Andrew" sort="England, Andrew" uniqKey="England A" first="Andrew" last="England">Andrew England</name><name sortKey="Gould, Derek" sort="Gould, Derek" uniqKey="Gould D" first="Derek" last="Gould">Derek Gould</name><name sortKey="Hunt, Carianne" sort="Hunt, Carianne" uniqKey="Hunt C" first="Carianne" last="Hunt">Carianne Hunt</name><name sortKey="Kilkenny, Caroline" sort="Kilkenny, Caroline" uniqKey="Kilkenny C" first="Caroline" last="Kilkenny">Caroline Kilkenny</name><name sortKey="Sinha, Amrita" sort="Sinha, Amrita" uniqKey="Sinha A" first="Amrita" last="Sinha">Amrita Sinha</name><name sortKey="Villard, Pierre Frederic" sort="Villard, Pierre Frederic" uniqKey="Villard P" first="Pierre-Frédéric" last="Villard">Pierre-Frédéric Villard</name><name sortKey="Woolnough, Helen" sort="Woolnough, Helen" uniqKey="Woolnough H" first="Helen" last="Woolnough">Helen Woolnough</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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